Monitoring the professional evolution of graduates with multiagent systems

Abstract

Several institutions need to collect and store information about people related to their activities. Among such institutions there are the educational institutions that need to monitor the professional development of its graduates. An automated system for performing this task must overcome several challenges: collect information in natural language databases, extract information through natural language processing techniques, identify the entities and the roles played by these entities in the situation described, integrate heterogeneous information and store this information on an easy handling database. Multiagent systems appear as a scalable and modular solution to accomplish this complex task that involves several steps. This paper describes a multiagent model to obtain professional information of graduates. The model was implemented and tested in a database of messages exchanged in a list of e-mails. The tests showed the feasibility of this approach in solving problems of information extraction in natural language. © 2014 Springer International Publishing.